Machine-learning-driven accelerated design-method for meta-devices

Autor: Ijaz, Sumbel, Noureen, Sadia, Rehman, Bacha, Aldaghri, Osamah, Cabrera, Humberto, Ibnaouf, Khalid H., Madkhali, Nawal, Mehmood, Muhammad Qasim

Publikováno v: In Materials Today Communications December 2023 37

Enhancing Brain Tumor Detection Through Custom Convolutional Neural Networks and Interpretability-Driven Analysis.

Autor: Dewage, Kavinda Ashan Kulasinghe Wasalamuni¹ (AUTHOR) ashankulasinghe1110@gmail.com, Hasan, Raza¹ (AUTHOR) bacha.rehman@solent.ac.uk, Rehman, Bacha¹ (AUTHOR), Mahmood, Salman² (AUTHOR) salman.mahmood@nhu.edu.pk

Publikováno v: Information (2078-2489). Oct2024, Vol. 15 Issue 10, p653. 32p.

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A Machine Learning-based Approach to Model Highly-thermally Robust Metasurface Absorber

Autor: Ijaz, Sumbel, Noureen, Sadia, Rehman, Bacha, Zubair, Muhammad, Mehmood, Muhammad Qasim, Massoud, Yehia

Publikováno v: Ijaz, S, Noureen, S, Rehman, B, Zubair, M, Mehmood, M Q & Massoud, Y 2022, A Machine Learning-based Approach to Model Highly-thermally Robust Metasurface Absorber . in Proceedings of the 2022 Conference on Lasers and Electro-Optics Pacific Rim . Optica Publishing Group . < https://opg.optica.org/abstract.cfm?URI=CLEOPR-2022-CPDP_05 >

For accelerating design procedure of compact and efficient on-chip nano-photonics and to aid computationally expensive, time-exhaustive state-of-the-art iterative simulation schemes, regression-based machine-learning models are demonstrated that pred

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9451::011ca695e34e16dcd155cceee465d52d
https://pure.solent.ac.uk/en/publications/a0aa75bc-a81d-4221-bc8f-541ab1e66766

A Development Framework for Automated Facial Expression Recognition Systems

Autor: Rehman, Bacha, Ong, Wee Hong, Ngo, Trung Dung

Publikováno v: Rehman, B, Ong, W H & Ngo, T D 2021, A Development Framework for Automated Facial Expression Recognition Systems . in W S H Suhaili, N Z Siau, S Omar & S Phon-Amuaisuk (eds), Computational Intelligence in Information Systems. CIIS 2021 . vol. 1321, Advances in Intelligent Systems and Computing, Springer, Cham, pp. 160-171 . https://doi.org/10.1007/978-3-030-68133-3_16

Automated facial expression recognition (AFER) has become an important research area with several computer vision (CV) applications. A robust AFER system requires sufficient good quality training and testing data for development and evaluation of a r

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9451::d4b95316a69e1840b88356840078997d
https://pure.solent.ac.uk/en/publications/79bfabdd-3dba-4211-bea7-fc522fa31b85